We design and build infrastructures to support features that empower billions of Apple users through advanced intelligence systems. Our team processes trillions of links to find the best content to surface to users via search and other intelligent features. We also analyze pages to extract critical features for indexing ranking and retrieval. We apply statistical analysis to enhance link selection content freshness retrieval rates and extraction quality among many other aspects. Furthermore we are building a generic Retrieval-Augmented Generation (RAG) indexing infrastructure framework to allow indexing building customization and support fast experiment iteration. Youll have the opportunity to dive deeper into RAG systems as well as large-scale data processing managing trillions of records petabytes of data and the incredible complexity behind Apple Intelligences products.
- Strong coding skills
- Strong background in computer science: algorithms and data structures
- Experience with large scale data processing map reduce applications.
- Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
- Excellent interpersonal skills able to work independently as well as in a team
- BS MS PhD or equivalent experience
- Experience in Machine learning and/or Natural Language Processing is a plus.
We design and build infrastructures to support features that empower billions of Apple users through advanced intelligence systems. Our team processes trillions of links to find the best content to surface to users via search and other intelligent features. We also analyze pages to extract critical ...
We design and build infrastructures to support features that empower billions of Apple users through advanced intelligence systems. Our team processes trillions of links to find the best content to surface to users via search and other intelligent features. We also analyze pages to extract critical features for indexing ranking and retrieval. We apply statistical analysis to enhance link selection content freshness retrieval rates and extraction quality among many other aspects. Furthermore we are building a generic Retrieval-Augmented Generation (RAG) indexing infrastructure framework to allow indexing building customization and support fast experiment iteration. Youll have the opportunity to dive deeper into RAG systems as well as large-scale data processing managing trillions of records petabytes of data and the incredible complexity behind Apple Intelligences products.
- Strong coding skills
- Strong background in computer science: algorithms and data structures
- Experience with large scale data processing map reduce applications.
- Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
- Excellent interpersonal skills able to work independently as well as in a team
- BS MS PhD or equivalent experience
- Experience in Machine learning and/or Natural Language Processing is a plus.
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